MachineLearningOps Engineer

Kansal Corporate Solutions; Dadri; On-site; INR 7,00,000 - 12,00,000; Full time

Job summary

A leading technology firm in India is seeking an experienced professional to design and manage cloud-native machine learning platforms. Responsibilities include building ML/ETL pipelines using tools like Apache Airflow and AWS MWAA, and managing distributed data workflows with Apache Spark. Candidates should have a background in data science and machine learning. This role requires strong technical skills and a collaborative spirit within a fast-evolving tech environment.

Qualifications

• Experience in designing and managing cloud-native ML platforms.
• Proficiency in building ML/ETL pipelines using Apache Airflow and AWS MWAA.
• Familiarity with distributed data workflows using Apache Spark (EMR/Glue).

Responsibilities

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows.

Job description

Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

Key Skills

Skills highlighted with ‘‘ are preferred keyskills

B2B Firm in Emerging Technologies Domain